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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 1 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
INFORMATICALT
1998
89views more  INFORMATICALT 1998»
15 years 6 months ago
Simply Invertible Matrices and Fast Prediction
Abstract. We study invertibility of big n × n matrices. There exists a number of algorithms, especially in mathematical statistics and numerical mathematics, requiring to invert s...
Valdas Diciunas
BMCBI
2010
176views more  BMCBI 2010»
15 years 4 months ago
Haplotype association analyses in resources of mixed structure using Monte Carlo testing
Background: Genomewide association studies have resulted in a great many genomic regions that are likely to harbor disease genes. Thorough interrogation of these specific regions ...
Ryan Abo, Jathine Wong, Alun Thomas, Nicola J. Cam...
INEX
2004
Springer
16 years 18 days ago
Component Ranking and Automatic Query Refinement for XML Retrieval
Queries over XML documents challenge search engines to return the most relevant XML components that satisfy the query concepts. In a previous work[6] we described an algorithm to ...
Yosi Mass, Matan Mandelbrod
ICASSP
2011
IEEE
14 years 11 months ago
Graphical models for localization of the seizure focus from interictal intracranial EEG
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered fro...
Justin Dauwels, Emad N. Eskandar, Andy Cole, Dan H...